AIMC Topic: Bronchiolitis

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Predicting long-term neurocognitive outcome after pediatric intensive care unit admission for bronchiolitis-preliminary exploration of the potential of machine learning.

European journal of pediatrics Nov 6, 2023
PURPOSE: For successful prevention and intervention, it is important to unravel the complex constellation of factors that affect neurocognitive functioning after pediatric intensive care unit (PICU) admission. This study aims (1) to elucidate the pot...
Humans Artificial Intelligence Machine Learning Cross-Sectional Studies Infant Child Intensive Care Units, Pediatric Birth Weight Bronchiolitis
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Machine learning-based prediction of acute severity in infants hospitalized for bronchiolitis: a multicenter prospective study.

Scientific reports Jul 3, 2020
We aimed to develop machine learning models to accurately predict bronchiolitis severity, and to compare their predictive performance with a conventional scoring (reference) model. In a 17-center prospective study of infants (aged < 1 year) hospitali...
Humans Machine Learning Prospective Studies Intensive Care Units Female Hospitalization Male Infant Severity of Illness Index Cohort Studies Regression Analysis Decision Trees Predictive Value of Tests Positive-Pressure Respiration Bronchiolitis
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